{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T07:05:35Z","timestamp":1781334335012,"version":"3.54.1"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,3,10]],"date-time":"2024-03-10T00:00:00Z","timestamp":1710028800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,3,10]],"date-time":"2024-03-10T00:00:00Z","timestamp":1710028800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372298"],"award-info":[{"award-number":["62372298"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Vis"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1007\/s12650-024-00966-2","type":"journal-article","created":{"date-parts":[[2024,3,10]],"date-time":"2024-03-10T03:26:47Z","timestamp":1710041207000},"page":"401-419","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Amplifying the music listening experience through song comments on music streaming platforms"],"prefix":"10.1007","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4596-8093","authenticated-orcid":false,"given":"Longfei","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qianyu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenyang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yangkun","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5700-3136","authenticated-orcid":false,"given":"Zhenhui","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0339-0361","authenticated-orcid":false,"given":"Haipeng","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4689-986X","authenticated-orcid":false,"given":"Zhida","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9847-7784","authenticated-orcid":false,"given":"Xiaojuan","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2249-0728","authenticated-orcid":false,"given":"Quan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,3,10]]},"reference":[{"key":"966_CR1","unstructured":"Alper B, Yang H, Haber E, Kandogan E (2011) Opinionblocks: visualizing consumer reviews. In: IEEE VisWeek 2011 workshop on interactive visual text analytics for decision making"},{"key":"966_CR2","unstructured":"Barzilay R, Elhadad M (1999) Using lexical chains for text summarization. Adv Autom Text Summ:111\u2013121"},{"issue":"1","key":"966_CR3","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1214\/aoms\/1177697196","volume":"41","author":"LE Baum","year":"1970","unstructured":"Baum LE, Petrie T, Soules G, Weiss N (1970) A maximization technique occurring in the statistical analysis of probabilistic functions of markov chains. Ann Math Stat 41(1):164\u2013171","journal-title":"Ann Math Stat"},{"issue":"1","key":"966_CR4","first-page":"1","volume":"39","author":"S Beliga","year":"2015","unstructured":"Beliga S, Me\u0161trovi\u0107 A, Martin\u010di\u0107-Ip\u0161i\u0107 S (2015) An overview of graph-based keyword extraction methods and approaches. J Inf Organ Sci 39(1):1\u201320","journal-title":"J Inf Organ Sci"},{"key":"966_CR5","unstructured":"Bharti SK, Babu KS (2017) Automatic keyword extraction for text summarization: a survey. arXiv:1704.03242"},{"key":"966_CR6","unstructured":"Brigl T (2018) Extracting reliable topics using ensemble latent Dirichlet allocation. PhD thesis, Technische Hochschule Ingolstadt"},{"issue":"6","key":"966_CR7","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.1109\/TVCG.2008.166","volume":"14","author":"L Byron","year":"2008","unstructured":"Byron L, Wattenberg M (2008) Stacked graphs-geometry & aesthetics. IEEE Trans Visual Comput Graphics 14(6):1245\u20131252","journal-title":"IEEE Trans Visual Comput Graphics"},{"key":"966_CR8","doi-asserted-by":"publisher","unstructured":"Chen S, Chen S, Lin L, Yuan X, Liang J, Zhang X (2017) E-map: a visual analytics approach for exploring significant event evolutions in social media. In: 2017 IEEE conference on visual analytics science and technology (VAST), pp 36\u201347. https:\/\/doi.org\/10.1109\/VAST.2017.8585638","DOI":"10.1109\/VAST.2017.8585638"},{"key":"966_CR9","doi-asserted-by":"publisher","unstructured":"Chen S, Chen S, Wang Z, Liang J, Yuan X, Cao N, Wu Y (2016) D-map: visual analysis of ego-centric information diffusion patterns in social media. In: 2016 IEEE conference on visual analytics science and technology (VAST), pp 41\u201350. https:\/\/doi.org\/10.1109\/VAST.2016.7883510","DOI":"10.1109\/VAST.2016.7883510"},{"issue":"1","key":"966_CR10","doi-asserted-by":"publisher","first-page":"1204","DOI":"10.1109\/TVCG.2019.2934263","volume":"26","author":"S Chen","year":"2019","unstructured":"Chen S, Li S, Chen S, Yuan X (2019) R-map: A map metaphor for visualizing information reposting process in social media. IEEE Trans Visual Comput Graphics 26(1):1204\u20131214","journal-title":"IEEE Trans Visual Comput Graphics"},{"key":"966_CR11","doi-asserted-by":"crossref","unstructured":"Chen X (2018) Research on the characteristics and communication mode of interesting virtual community: take net ease cloud music as an example. In: 4th international symposium on social science (ISSS 2018). Atlantis Press, pp 408\u2013412","DOI":"10.2991\/isss-18.2018.84"},{"key":"966_CR12","unstructured":"Chuang Z-J, Wu C-H (2004) Multi-modal emotion recognition from speech and text, pp 45\u201362"},{"issue":"3","key":"966_CR13","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/BF00994018","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273\u2013297","journal-title":"Mach Learn"},{"issue":"12","key":"966_CR14","doi-asserted-by":"publisher","first-page":"2412","DOI":"10.1109\/TVCG.2011.239","volume":"17","author":"W Cui","year":"2011","unstructured":"Cui W, Liu S, Tan L, Shi C, Song Y, Gao Z, Qu H, Tong X (2011) Textflow: towards better understanding of evolving topics in text. IEEE Trans Visual Comput Graphics 17(12):2412\u20132421","journal-title":"IEEE Trans Visual Comput Graphics"},{"key":"966_CR15","doi-asserted-by":"crossref","unstructured":"Cui Y, Che W, Liu T, Qin B, Wang S, Hu G (2020) Revisiting pre-trained models for Chinese natural language processing. In: Proceedings of the 2020 conference on empirical methods in natural language processing: findings. Association for Computational Linguistics, pp 657\u2013668","DOI":"10.18653\/v1\/2020.findings-emnlp.58"},{"issue":"6","key":"966_CR16","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1109\/TVCG.2010.129","volume":"16","author":"M D\u00f6rk","year":"2010","unstructured":"D\u00f6rk M, Gruen D, Williamson C, Carpendale S (2010) A visual backchannel for large-scale events. IEEE Trans Visual Comput Graphics 16(6):1129\u20131138","journal-title":"IEEE Trans Visual Comput Graphics"},{"key":"966_CR17","unstructured":"Eckman P (1972) Universal and cultural differences in facial expression of emotion. In: Nebraska symposium on motivation, vol\u00a019. University of Nebraska Press, pp 207\u2013284"},{"key":"966_CR18","unstructured":"Ester M, Kriegel H.-P, Sander J, Xu X (1996) A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the second international conference on knowledge discovery and data mining, KDD\u201996. AAAI Press, pp 226\u2013231"},{"key":"966_CR19","doi-asserted-by":"crossref","unstructured":"Graves A, Jaitly N, Mohamed A.-r (2013) Hybrid speech recognition with deep bidirectional lstm. In: 2013 IEEE workshop on automatic speech recognition and understanding. IEEE, pp 273\u2013278","DOI":"10.1109\/ASRU.2013.6707742"},{"key":"966_CR20","doi-asserted-by":"crossref","unstructured":"Graves A, Schmidhuber J (2005) Framewise phoneme classification with bidirectional lstm networks. In: Proceedings 2005 IEEE international joint conference on neural networks, 2005, vol\u00a04. IEEE, pp 2047\u20132052","DOI":"10.1109\/IJCNN.2005.1556215"},{"key":"966_CR21","doi-asserted-by":"crossref","unstructured":"Grivet S, Auber D, Domenger J.-P, Melan\u00e7on G (2006) Bubble tree drawing algorithm. In: Computer vision and graphics. Springer, pp 633\u2013641","DOI":"10.1007\/1-4020-4179-9_91"},{"key":"966_CR22","doi-asserted-by":"publisher","unstructured":"Grootendorst M (2020) Keybert: minimal keyword extraction with bert. https:\/\/doi.org\/10.5281\/zenodo.4461265","DOI":"10.5281\/zenodo.4461265"},{"issue":"2","key":"966_CR23","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1002\/col.22171","volume":"43","author":"M Hanada","year":"2018","unstructured":"Hanada M (2018) Correspondence analysis of color-emotion associations. Color Res Appl 43(2):224\u2013237","journal-title":"Color Res Appl"},{"key":"966_CR24","doi-asserted-by":"crossref","unstructured":"Hasan KS, Ng V (2014) Automatic keyphrase extraction: a survey of the state of the art. In: Proceedings of the 52nd annual meeting of the association for computational linguistics (Volume 1: Long Papers), pp 1262\u20131273","DOI":"10.3115\/v1\/P14-1119"},{"issue":"1","key":"966_CR25","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1109\/2945.981848","volume":"8","author":"S Havre","year":"2002","unstructured":"Havre S, Hetzler E, Whitney P, Nowell L (2002) Themeriver: visualizing thematic changes in large document collections. IEEE Trans Visual Comput Graphics 8(1):9\u201320","journal-title":"IEEE Trans Visual Comput Graphics"},{"issue":"3","key":"966_CR26","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1177\/1525822X04266540","volume":"16","author":"DJ Hruschka","year":"2004","unstructured":"Hruschka DJ, Schwartz D, St. John DC, Picone-Decaro E, Jenkins RA, Carey JW (2004) Reliability in coding open-ended data: lessons learned from hiv behavioral research. Field Methods 16(3):307\u2013331","journal-title":"Field Methods"},{"key":"966_CR27","doi-asserted-by":"crossref","unstructured":"Hulth A (2003) Improved automatic keyword extraction given more linguistic knowledge. In: Proceedings of the 2003 conference on Empirical methods in natural language processing, pp 216\u2013223","DOI":"10.3115\/1119355.1119383"},{"issue":"3","key":"966_CR28","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1016\/j.plrev.2013.05.008","volume":"10","author":"PN Juslin","year":"2013","unstructured":"Juslin PN (2013) From everyday emotions to aesthetic emotions: towards a unified theory of musical emotions. Phys Life Rev 10(3):235\u2013266. https:\/\/doi.org\/10.1016\/j.plrev.2013.05.008","journal-title":"Phys Life Rev"},{"key":"966_CR29","doi-asserted-by":"crossref","unstructured":"Keogh E, Chu S, Hart D, Pazzani M (2004) Segmenting time series: a survey and novel approach. In: textitData mining in time series databases. World Scientific, pp 1\u201321","DOI":"10.1142\/9789812565402_0001"},{"key":"966_CR30","doi-asserted-by":"crossref","unstructured":"Kucher K, Paradis C, Kerren A (2018) The state of the art in sentiment visualization. In: Computer graphics forum, vol\u00a037. Wiley Online Library, pp 71\u201396","DOI":"10.1111\/cgf.13217"},{"key":"966_CR31","unstructured":"Lafferty J, McCallum A, Pereira FC (2001) Conditional random fields: probabilistic models for segmenting and labeling sequence data"},{"key":"966_CR32","doi-asserted-by":"crossref","unstructured":"Leskovec J, Backstrom L, Kleinberg J (2009) Meme-tracking and the dynamics of the news cycle. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, pp 497\u2013506","DOI":"10.1145\/1557019.1557077"},{"key":"966_CR33","doi-asserted-by":"crossref","unstructured":"Liu S, Zhou M.\u00a0X, Pan S, Qian W, Cai W, Lian X (2009) Interactive, topic-based visual text summarization and analysis. In: Proceedings of the 18th ACM conference on information and knowledge management, pp 543\u2013552","DOI":"10.1145\/1645953.1646023"},{"key":"966_CR34","unstructured":"Marin MM, Bhattacharya J (2010) Music induced emotions: some current issues and cross-modal comparisons. Music Educ:1\u201338"},{"key":"966_CR35","doi-asserted-by":"crossref","unstructured":"Pang B, Lee L, Vaithyanathan S (2002) Thumbs up? Sentiment classification using machine learning techniques. arXiv:cs\/0205070","DOI":"10.3115\/1118693.1118704"},{"key":"966_CR36","doi-asserted-by":"crossref","unstructured":"Ren Y, Harper FM, Drenner S, Terveen L, Kiesler S, Riedl J, Kraut RE (2012) Building member attachment in online communities: applying theories of group identity and interpersonal bonds. MIS Q:841\u2013864","DOI":"10.2307\/41703483"},{"key":"966_CR37","doi-asserted-by":"crossref","unstructured":"Scherer KR, Zentner MR (2001) Emotional effects of music: production rules","DOI":"10.1093\/oso\/9780192631886.003.0016"},{"key":"966_CR38","doi-asserted-by":"crossref","unstructured":"Shneiderman B (1996) The eyes have it: A task by data type taxonomy for information visualizations. In: Proceedings 1996 IEEE symposium on visual languages. IEEE, pp 336\u2013343","DOI":"10.1109\/VL.1996.545307"},{"key":"966_CR39","doi-asserted-by":"crossref","unstructured":"Siddiqi S, Sharan A (2015) Keyword and keyphrase extraction techniques: a literature review. Int J Comput Appl 109(2)","DOI":"10.5120\/19161-0607"},{"issue":"5","key":"966_CR40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.4304\/jmm.9.5.635-643","volume":"9","author":"G Song","year":"2014","unstructured":"Song G, Ye Y, Du X, Huang X, Bie S (2014) Short text classification: a survey. J Multimed 9(5):1\u20132","journal-title":"J Multimed"},{"issue":"1","key":"966_CR41","first-page":"176","volume":"34","author":"D Sugiana","year":"2018","unstructured":"Sugiana D, Hafiar H (2018) Construction of self-identity and social identity of\u201ckoes plus\u2019\u2019 music fans. MIMBAR: Jurnal Sosial Dan Pembangunan 34(1):176\u2013184","journal-title":"MIMBAR: Jurnal Sosial Dan Pembangunan"},{"key":"966_CR42","unstructured":"Uzun Y (2005) Keyword extraction using naive bayes. In: Bilkent University, Department of Computer Science, Turkey www. cs. bilkent. edu. tr\/$$\\sim $$ guvenir\/courses\/CS550\/Workshop\/Yasin_Uzun. pdf"},{"key":"966_CR43","unstructured":"Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser L, Polosukhin I (2017) Attention is all you need. arXiv:1706.03762"},{"key":"966_CR44","doi-asserted-by":"crossref","unstructured":"Wang H, Fu R (2020) Exploring user experience of music social mode-take netease cloud music as an example. In: International conference on applied human factors and ergonomics. Springer, pp 993\u2013999","DOI":"10.1007\/978-3-030-51194-4_130"},{"key":"966_CR45","doi-asserted-by":"crossref","unstructured":"Wang Y, Haleem H, Shi C, Wu Y, Zhao X, Fu S, Qu H (2018) Towards easy comparison of local businesses using online reviews. In: Proceedings of computer graphics forum, vol\u00a037. Wiley Online Library, pp 63\u201374","DOI":"10.1111\/cgf.13401"},{"key":"966_CR46","doi-asserted-by":"crossref","unstructured":"Wei F, Liu S, Song Y, Pan S, Zhou MX, Qian W, Shi L, Tan L, Zhang Q (2010) Tiara: a visual exploratory text analytic system. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining, pp 153\u2013162","DOI":"10.1145\/1835804.1835827"},{"key":"966_CR47","doi-asserted-by":"crossref","unstructured":"Wolf T, Debut L, Sanh V, Chaumond J, Delangue C, Moi A, Cistac P, Rault T, Louf R, Funtowicz M, Davison J, Shleifer S, von Platen P, Ma C, Jernite Y, Plu J, Xu C, Scao TL, Gugger S, Drame M, Lhoest QA (2020) State-of-the-art natural language processing, M. Rush. Huggingface\u2019s transformers","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"966_CR48","doi-asserted-by":"crossref","unstructured":"Yatani K, Novati M, Trusty A, Truong KN (2011) Review spotlight: a user interface for summarizing user-generated reviews using adjective-noun word pairs. In: Proceedings of the SIGCHI conference on human factors in computing systems, pp 1541\u20131550","DOI":"10.1145\/1978942.1979167"},{"key":"966_CR49","doi-asserted-by":"crossref","unstructured":"Zeng H, Shu X, Wang Y, Wang Y, Zhang L, Pong T-C, Qu H (2020) Emotioncues: Emotion-oriented visual summarization of classroom videos. IEEE Trans Vis Comput Graphics","DOI":"10.1109\/TVCG.2019.2963659"},{"issue":"1","key":"966_CR50","first-page":"927","volume":"26","author":"H Zeng","year":"2019","unstructured":"Zeng H, Wang X, Wu A, Wang Y, Li Q, Endert A, Qu H (2019) Emoco: visual analysis of emotion coherence in presentation videos. IEEE Trans Visual Comput Graphics 26(1):927\u2013937","journal-title":"IEEE Trans Visual Comput Graphics"},{"key":"966_CR51","doi-asserted-by":"crossref","unstructured":"Zhang Q, Wang Y, Gong Y, Huang X-J (2016) Keyphrase extraction using deep recurrent neural networks on twitter. In: Proceedings of the 2016 conference on empirical methods in natural language processing, pp 836\u2013845","DOI":"10.18653\/v1\/D16-1080"},{"key":"966_CR52","doi-asserted-by":"crossref","unstructured":"Zhao J, Gou L, Wang F, Zhou M (2014) Pearl: an interactive visual analytic tool for understanding personal emotion style derived from social media. In: Proceedings of 2014 IEEE conference on visual analytics science and technology (VAST). IEEE, pp 203\u2013212","DOI":"10.1109\/VAST.2014.7042496"}],"container-title":["Journal of Visualization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-024-00966-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12650-024-00966-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-024-00966-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T01:53:54Z","timestamp":1731549234000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12650-024-00966-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,10]]},"references-count":52,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,6]]}},"alternative-id":["966"],"URL":"https:\/\/doi.org\/10.1007\/s12650-024-00966-2","relation":{},"ISSN":["1343-8875","1875-8975"],"issn-type":[{"value":"1343-8875","type":"print"},{"value":"1875-8975","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,10]]},"assertion":[{"value":"27 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 January 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 January 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 March 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}